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Record W4403832426 · doi:10.1681/asn.20242qr7arw4

CD89 Triggers APRIL Activation in Pediatric IgA Nephropathy

2024· article· en· W4403832426 on OpenAlexaffabout
Cambier Alexandra, Lison Lachize Neanne, Natalie Patey, Renato C. Monteiro, Olivia Boyer, Julien Hogan

Bibliographic record

VenueJournal of the American Society of Nephrology · 2024
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsNephropathyMedicineImmunologyEndocrinology

Abstract

fetched live from OpenAlex

Background: IgAN, characterized by renal deposition of IgA, involves a multi-hit development with formation of circulating immune complexes (CICs) containing Gd-IgA1 and sCD89, contributing to renal inflammation. A Proliferation-Inducing Ligand (APRIL) is implicated in the immune response. The aim of this study is to investigate APRIL implication, especially in children with IgAN (cIgAN), who often exhibit more inflammation than adults. Methods: First, we evaluated APRIL levels in human mesangial cells (HMC) after stimulation with recombinant sCD89 (rsCD89) or plasma from cIgAN patients. Subsequently, we conducted a comprehensive international cross-sectional study involving 86 cIgAN patients and 48 control recruited from France and Canada. Our investigation included quantification of APRIL plasma levels and CICs, which were then compared with biological, clinical, and histological characteristics of the disease. Additionally, we performed immunohistochemistry analysis on kidney biopsies from cIgAN patients to visualize APRIL staining patterns. Results: We demonstrated first that stimulations with cIgAN plasma and rsCD89 induced inflammation in HMC, leading to increased APRIL mRNA and protein production. We observed elevated levels of Gd-IgA1, sCD89-IgA1, sCD89 and soluble APRIL in the plasma of cIgAN patients compared to control subjects. Moreover, we found evidence suggesting that APRIL may be trapped within CICs, colocalizing with IgA in same-size complexes in Western blot experiments.Plus, IgA-APRIL and CD89-APRIL complexes were detected in cIgAN samples using ELISA and immunoprecipitation techniques. Levels of CICs correlated with plasma APRIL levels, and presence of IgA-APRIL and CD89-APRIL in CICs was linked to a worst initial clinical presentation, prognosis with kidney failure and relapses with persistent proteinuria. Staining of cIgAN biopsies revealed the presence of APRIL deposits within the glomerulus in the mesangium and near the Bowman capsule. Conclusion: Our research highlights the role of APRIL in the pathways of cIgAN, with sCD89 as a potential trigger of APRIL activation in HMCs. APRIL holds promise as a valuable biomarker, offering a non-invasive means to detect forms of cIgAN with the worst progression, thereby potentially reducing reliance on biopsy. APRIL inhibition as therapeutic strategy presents an exciting opportunity for cIgAN treatment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.278
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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